Xiao Huang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 72

Top Topics

Graph Embedding

Top Venues

Publications

Ye Jia, Xiangzhi Eric Wang, Zackary P. T. Sin, Chen Li, Peter H. F. Ng, Xiao Huang, George Baciu, Jiannong Cao, Qing Li
Knowledge-Graph-Driven Mind Mapping for Immersive Collaborative Learning: A Pilot Study in Edu-Metaverse. IEEE Trans. Learn. Technol. 17 (2024)
Xuansheng Wu, Huachi Zhou, Yucheng Shi, Wenlin Yao, Xiao Huang, Ninghao Liu
Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation. WWW (2024)
Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li
Learning Hierarchical Task Structures for Few-shot Graph Classification. ACM Trans. Knowl. Discov. Data 18 (3) (2024)
Junnan Dong, Qinggang Zhang, Huachi Zhou, Daochen Zha, Pai Zheng, Xiao Huang
Modality-Aware Integration with Large Language Models for Knowledge-Based Visual Question Answering. ACL (1) (2024)
Junnan Dong, Qinggang Zhang, Chuang Zhou, Hao Chen, Daochen Zha, Xiao Huang
Cost-efficient Knowledge-based Question Answering with Large Language Models. CoRR (2024)
Qinggang Zhang, Junnan Dong, Qiaoyu Tan, Xiao Huang
Integrating Entity Attributes for Error-Aware Knowledge Graph Embedding. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Huachi Zhou, Shuang Zhou, Hao Chen, Ninghao Liu, Fan Yang, Xiao Huang
Enhancing Explainable Rating Prediction through Annotated Macro Concepts. ACL (1) (2024)
Shuang Zhou, Xiao Huang, Ninghao Liu, Wen Zhang, Yuan-Ting Zhang, Fu-Lai Chung
Open-world electrocardiogram classification via domain knowledge-driven contrastive learning. Neural Networks 179 (2024)
Qinggang Zhang, Keyu Duan, Junnan Dong, Pai Zheng, Xiao Huang
Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion. KDD (2024)
Hanyu Sun, Xiao Huang, Wei Ma
Beyond Prediction: On-Street Parking Recommendation Using Heterogeneous Graph-Based List-Wise Ranking. IEEE Trans. Intell. Transp. Syst. 25 (6) (2024)
Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, Xia Hu
Collaborative Graph Neural Networks for Attributed Network Embedding. IEEE Trans. Knowl. Data Eng. 36 (3) (2024)
Qinggang Zhang, Junnan Dong, Hao Chen, Wentao Li, Feiran Huang, Xiao Huang
Structure Guided Large Language Model for SQL Generation. CoRR (2024)
Zijin Hong, Zheng Yuan, Hao Chen, Qinggang Zhang, Feiran Huang, Xiao Huang
Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM. ACL (Findings) (2024)
Junnan Dong, Qinggang Zhang, Huachi Zhou, Daochen Zha, Pai Zheng, Xiao Huang
Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering. CoRR (2024)
Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang
Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks. KDD (2024)
Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang
Macro Graph Neural Networks for Online Billion-Scale Recommender Systems. WWW (2024)
Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Qing Li, Xiao Huang
Entity Alignment with Noisy Annotations from Large Language Models. CoRR (2024)
Junnan Dong, Wentao Li, Yaowei Wang, Qing Li, George Baciu, Jiannong Cao, Xiao Huang, Richard Chen Li, Peter H. F. Ng
Gradual Study Advising with Course Knowledge Graphs. ICWL (2023)
Zackary P. T. Sin, Ye Jia, Astin C. H. Wu, Isaac Dan Zhao, Richard Chen Li, Peter H. F. Ng, Xiao Huang, George Baciu, Jiannong Cao, Qing Li
Toward an Edu-Metaverse of Knowledge: Immersive Exploration of University Courses. IEEE Trans. Learn. Technol. 16 (6) (2023)
Xuansheng Wu, Huachi Zhou, Wenlin Yao, Xiao Huang, Ninghao Liu
Towards Personalized Cold-Start Recommendation with Prompts. CoRR (2023)
Huachi Zhou, Shuang Zhou, Keyu Duan, Xiao Huang, Qiaoyu Tan, Zailiang Yu
Interest Driven Graph Structure Learning for Session-Based Recommendation. PAKDD (3) (2023)
Qiaoyu Tan, Ninghao Liu, Xiao Huang, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu
S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking. WSDM (2023)
Yezi Liu, Qinggang Zhang, Mengnan Du, Xiao Huang, Xia Hu
Error Detection on Knowledge Graphs with Triple Embedding. EUSIPCO (2023)
Rui Chen, Guotao Liang, Chenrui Ma, Qilong Han, Li Li, Xiao Huang
HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation. IJCNN (2023)
Shuang Zhou, Xiao Huang, Ninghao Liu, Huachi Zhou, Fu-Lai Chung, Long-Kai Huang
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Liqiao Xia, Yongshi Liang, Pai Zheng, Xiao Huang
Residual-Hypergraph Convolution Network: A Model-Based and Data-Driven Integrated Approach for Fault Diagnosis in Complex Equipment. IEEE Trans. Instrum. Meas. 72 (2023)
Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu
RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations. ICML (2023)
Yanhong Xu, Xiao Huang, Anyi Wang
Transmit-Receive Sparse Synthesis of Linear Frequency Diverse Array in Range-Angle Space Using Genetic Algorithm. Sensors 23 (6) (2023)
Huachi Zhou, Hao Chen, Junnan Dong, Daochen Zha, Chuang Zhou, Xiao Huang
Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering. SIGIR (2023)
Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, Xia Hu
Collaborative Graph Neural Networks for Attributed Network Embedding. CoRR (2023)
Shuang Zhou, Xiao Huang, Ninghao Liu, Huachi Zhou, Fu-Lai Chung, Long-Kai Huang
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation. CoRR (2023)
Junnan Dong, Qinggang Zhang, Xiao Huang, Keyu Duan, Qiaoyu Tan, Zhimeng Jiang
Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs. WWW (2023)
Yuanchen Bei, Hao Chen, Shengyuan Chen, Xiao Huang, Sheng Zhou, Feiran Huang
Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction. CIKM (2023)
Feiran Huang, Zefan Wang, Xiao Huang, Yufeng Qian, Zhetao Li, Hao Chen
Aligning Distillation For Cold-start Item Recommendation. SIGIR (2023)
Rui Chen, Guotao Liang, Chenrui Ma, Qilong Han, Li Li, Xiao Huang
HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation. CoRR (2023)
Xin Zhang, Qiaoyu Tan, Xiao Huang, Bo Li
Graph Contrastive Learning with Personalized Augmentation. CoRR (2022)
Wentao Li, Huachi Zhou, Junnan Dong, Qinggang Zhang, Qing Li, George Baciu, Jiannong Cao, Xiao Huang
Constructing Low-Redundant and High-Accuracy Knowledge Graphs for Education. ICWL (2022)
Kaixiong Zhou, Xiao Huang, Qingquan Song, Rui Chen, Xia Hu
Auto-GNN: Neural architecture search of graph neural networks. Frontiers Big Data 5 (2022)
Huachi Zhou, Jiaqi Fan, Xiao Huang, Ka Ho Li, Zhenyu Tang, Dahai Yu
Multi-Interest Refinement by Collaborative Attributes Modeling for Click-Through Rate Prediction. CIKM (2022)
Shuang Zhou, Xiao Huang, Ninghao Liu, Qiaoyu Tan, Fu-Lai Chung
Unseen Anomaly Detection on Networks via Multi-Hypersphere Learning. SDM (2022)
Zackary P. T. Sin, Isaac Dan Zhao, Astin C. H. Wu, Richard Chen Li, Peter H. F. Ng, Xiao Huang, George Baciu, Jiannong Cao, Qing Li
Towards a Metaverse of Knowledge - A Constructivist Proposition on Immersive Learning and Visual Literacy. ICWL (2022)
Shuang Zhou, Xiao Huang, Ninghao Liu, Fu-Lai Chung, Long-Kai Huang
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation. CoRR (2022)
Zhiming Xu, Xiao Huang, Yue Zhao, Yushun Dong, Jundong Li
Contrastive Attributed Network Anomaly Detection with Data Augmentation. PAKDD (2) (2022)
Zhihao Guo, Shengyuan Chen, Xiao Huang, Zhiqiang Qian, Chunsing Yu, Yan Xu, Fang Ding
Fair Benchmark for Unsupervised Node Representation Learning. Algorithms 15 (10) (2022)
Jerry C. K. Chan, Yaowei Wang, Qing Li, George Baciu, Jiannong Cao, Xiao Huang, Richard Chen Li, Peter H. F. Ng
Intelligent Instructional Design via Interactive Knowledge Graph Editing. ICWL (2022)
Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks. CoRR (2021)
Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks. NeurIPS (2021)
Ji Gao, Xiao Huang, Jundong Li
Unsupervised Graph Alignment with Wasserstein Distance Discriminator. KDD (2021)
Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu
Towards Deeper Graph Neural Networks with Differentiable Group Normalization. NeurIPS (2020)
Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu
Towards Deeper Graph Neural Networks with Differentiable Group Normalization. CoRR (2020)
Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu
Multi-Channel Graph Neural Networks. IJCAI (2020)
Xiao Huang, Qingquan Song, Fan Yang, Xia Hu
Large-Scale Heterogeneous Feature Embedding. AAAI (2019)
Ruiqi Cheng, Kaiwei Wang, Shufei Lin, Weijian Hu, Kailun Yang, Xiao Huang, Huabing Li, Dongming Sun, Jian Bai
Panoramic Annular Localizer: Tackling the Variation Challenges of Outdoor Localization Using Panoramic Annular Images and Active Deep Descriptors. ITSC (2019)
Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu
Learning From Networks: Algorithms, Theory, and Applications. KDD (2019)
Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks. CoRR (2019)
Qingquan Song, Haifeng Jin, Xiao Huang, Xia Hu
Multi-Label Adversarial Perturbations. CoRR (2019)
Kaixiong Zhou, Qingquan Song, Xiao Huang, Xia Hu
Auto-GNN: Neural Architecture Search of Graph Neural Networks. CoRR (2019)
Xiao Huang, Jingyuan Zhang, Dingcheng Li, Ping Li
Knowledge Graph Embedding Based Question Answering. WSDM (2019)
Ruiqi Cheng, Kaiwei Wang, Shufei Lin, Weijian Hu, Kailun Yang, Xiao Huang, Huabing Li, Dongming Sun, Jian Bai
Panoramic Annular Localizer: Tackling the Variation Challenges of Outdoor Localization Using Panoramic Annular Images and Active Deep Descriptors. CoRR (2019)
Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks. CIKM (2019)
Xiao Huang, Qingquan Song, Yuening Li, Xia Hu
Graph Recurrent Networks With Attributed Random Walks. KDD (2019)
Xiao Huang, Qingquan Song, Jundong Li, Xia Hu
Exploring Expert Cognition for Attributed Network Embedding. WSDM (2018)
Xiao Huang, Jundong Li, Na Zou, Xia Hu
A General Embedding Framework for Heterogeneous Information Learning in Large-Scale Networks. ACM Trans. Knowl. Discov. Data 12 (6) (2018)
Ninghao Liu, Xiao Huang, Jundong Li, Xia Hu
On Interpretation of Network Embedding via Taxonomy Induction. KDD (2018)
Qingquan Song, Haifeng Jin, Xiao Huang, Xia Hu
Multi-label Adversarial Perturbations. ICDM (2018)
Zepeng Huo, Xiao Huang, Xia Hu
Link Prediction With Personalized Social Influence. AAAI (2018)
Qingquan Song, Xiao Huang, Hancheng Ge, James Caverlee, Xia Hu
Multi-Aspect Streaming Tensor Completion. KDD (2017)
Xiao Huang, Jundong Li, Xia Hu
Accelerated Attributed Network Embedding. SDM (2017)
Ninghao Liu, Xiao Huang, Xia Hu
Accelerated Local Anomaly Detection via Resolving Attributed Networks. IJCAI (2017)
Xiao Huang, Jundong Li, Xia Hu
Label Informed Attributed Network Embedding. WSDM (2017)
Xiao Huang, Salim El Rouayheb
Index coding and network coding via rank minimization. ITW Fall (2015)
Xiao Huang, Salim El Rouayheb
Index Coding and Network Coding via Rank Minimization. CoRR (2015)